AI applications to medical images: From machine learning to deep learning

I Castiglioni, L Rundo, M Codari, G Di Leo, C Salvatore… - Physica medica, 2021 - Elsevier
Purpose Artificial intelligence (AI) models are playing an increasing role in biomedical
research and healthcare services. This review focuses on challenges points to be clarified …

Radiomics in prostate cancer: An up-to-date review

M Ferro, O de Cobelli, G Musi… - Therapeutic …, 2022 - journals.sagepub.com
Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male
population. The diagnosis, the identification of aggressive disease, and the post-treatment …

[HTML][HTML] Prostate cancer screening with PSA and MRI followed by targeted biopsy only

J Hugosson, M Månsson, J Wallström… - … England Journal of …, 2022 - Mass Medical Soc
Background Screening for prostate cancer is burdened by a high rate of overdiagnosis. The
most appropriate algorithm for population-based screening is unknown. Methods We invited …

ESUR/ESUI consensus statements on multi-parametric MRI for the detection of clinically significant prostate cancer: quality requirements for image acquisition …

M de Rooij, B Israël, M Tummers, HU Ahmed… - European …, 2020 - Springer
Objectives This study aims to define consensus-based criteria for acquiring and reporting
prostate MRI and establishing prerequisites for image quality. Methods A total of 44 leading …

Classification of cancer at prostate MRI: deep learning versus clinical PI-RADS assessment

P Schelb, S Kohl, JP Radtke, M Wiesenfarth… - Radiology, 2019 - pubs.rsna.org
Background Men suspected of having clinically significant prostate cancer (sPC)
increasingly undergo prostate MRI. The potential of deep learning to provide diagnostic …

Prostate Imaging Quality (PI-QUAL): a new quality control scoring system for multiparametric magnetic resonance imaging of the prostate from the PRECISION trial

F Giganti, C Allen, M Emberton, CM Moore… - European urology …, 2020 - Elsevier
The PRECISION trial was a multicentre randomised study that demonstrated that
multiparametric magnetic resonance imaging (mpMRI)–targeted biopsy is superior to …

Update of the standard operating procedure on the use of multiparametric magnetic resonance imaging for the diagnosis, staging and management of prostate cancer

MA Bjurlin, PR Carroll, S Eggener… - The Journal of …, 2020 - auajournals.org
Purpose: We update the prior standard operating procedure for magnetic resonance
imaging of the prostate, and summarize the available data about the technique and clinical …

PI-RADS steering committee: the PI-RADS multiparametric MRI and MRI-directed biopsy pathway

AR Padhani, J Barentsz, G Villeirs, AB Rosenkrantz… - Radiology, 2019 - pubs.rsna.org
High-quality evidence shows that MRI in biopsy-naive men can reduce the number of men
who need prostate biopsy and can reduce the number of diagnoses of clinically insignificant …

Deep learning reconstruction of diffusion-weighted MRI improves image quality for prostatic imaging

T Ueda, Y Ohno, K Yamamoto, K Murayama, M Ikedo… - Radiology, 2022 - pubs.rsna.org
Background Deep learning reconstruction (DLR) may improve image quality. However, its
impact on diffusion-weighted imaging (DWI) of the prostate has yet to be assessed. Purpose …

Prostate magnetic resonance imaging for local recurrence reporting (PI-RR): international consensus-based guidelines on multiparametric magnetic resonance …

V Panebianco, G Villeirs, JC Weinreb… - European urology …, 2021 - Elsevier
Background Imaging techniques are used to identify local recurrence of prostate cancer
(PCa) for salvage therapy and to exclude metastases that should be addressed with …